Summary
Braden Starcher is a technical co-founder and applied machine learning engineer with nine years of experience building computer vision, ML, and immersive systems for industrial and healthcare applications. He has led vision model development and MLOps at Baker Hughes—delivering production-constrained models for borescope inspection, accelerating inference with OpenVINO, and exploring NeRF-based 3D digital twins—and now architects AI systems at YOBO Health to reduce avoidable heart-failure readmissions. Comfortable spanning research and productization, he combines low-level engineering (C drivers, haptics, embedded optimizations) with modern ML stacks (PyTorch, YOLO) and a track record of securing R&D funding through compelling technical-business pitches. A trained computer engineer who also produces 2D/3D motion graphics and multimedia content, he brings a rare mix of visual storytelling and rigorous ML engineering to complex, safety-critical domains.
9 years of coding experience
8 years of employment as a software developer
BSc Computer Engineering, BSc Computer Engineering at University of Oklahoma